Kashif Mahfooz

Postdoctoral Research Fellow

The main focus of my research lies in neural networks and synaptic computation. A fundamental question in neuroscience is how neural circuits utilise temporally and spatially patterned information in order to drive changes in synaptic connections.

Currently, I am studying the information transfer between different layers of cortex, using the mouse as an animal model. I use patch-clamp electrophysiology to dissect out synaptic communication between the different cortical layers, which are known to contain different types of neuron. Understanding the transfer of information across cortical layers will help us better understand the types of computation performed by cortex.

Recent publications

Fine-scale excitatory cortical circuits reflect embryonic progenitor pools
Journal article

Ellender T. et al, (2018)
GluN3A promotes NMDA spiking by enhancing synaptic transmission in Huntington's disease models.
Journal article

Mahfooz K. et al, (2016), Neurobiol Dis, 93, 47 - 56
A Well-Defined Readily Releasable Pool with Fixed Capacity for Storing Vesicles at Calyx of Held.
Journal article

Mahfooz K. et al, (2016), PLoS Comput Biol, 12
Levetiracetam accelerates the onset of supply rate depression in synaptic vesicle trafficking.
Journal article

García-Pérez E. et al, (2015), Epilepsia, 56, 535 - 545
A new kinetic framework for synaptic vesicle trafficking tested in synapsin knock-outs.
Journal article

Gabriel T. et al, (2011), J Neurosci, 31, 11563 - 11577

More publications